First, determine what success looks like. It may be data tools identifying patterns or to build ai software that responding to consumer inquiries. What is AI intended to do, you ask? Who actually uses it, then? What outcomes do you hope to achieve?
Step 1: Define Your Use Case
Step 2: Gather and Clean Your Data
Step 3: Choose the Right Tools and Frameworks
Step 4: Train the Model
Step 5: Evaluate and Improve
Step 6: Deploy the Model and Monitor It
Step 7: Keep It Running and Expand